OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7852, kappa: 0.5667, kb_relative_information_score: 1385.8892, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7914, scimark_benchmark: 1795.6915, usercpu_time_millis: 758.158, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 755.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7903, kappa: 0.577, kb_relative_information_score: 1491.9835, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7816, scimark_benchmark: 1841.1577, usercpu_time_millis: 1275.598, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 1274.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 1255.317, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8223, scimark_benchmark: 2120.0789, usercpu_time_millis: 1594.815, usercpu_time_millis_testing: 1.834, usercpu_time_millis_training: 1592.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7731, kappa: 0.5423, kb_relative_information_score: 1288.3879, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7738, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8136, scimark_benchmark: 1818.3938, usercpu_time_millis: 1762.706, usercpu_time_millis_testing: 2.751, usercpu_time_millis_training: 1759.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8101, kappa: 0.617, kb_relative_information_score: 1704.9878, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507, scimark_benchmark: 1820.3086, usercpu_time_millis: 2552.241, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 2549.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8114, kappa: 0.6195, kb_relative_information_score: 1570.9062, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8117, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563, scimark_benchmark: 1984.1913, usercpu_time_millis: 3921.199, usercpu_time_millis_testing: 6.379, usercpu_time_millis_training: 3914.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7732, kappa: 0.5425, kb_relative_information_score: 1274.6361, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8142, scimark_benchmark: 2065.9456, usercpu_time_millis: 4316, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 4312.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7768, kappa: 0.5498, kb_relative_information_score: 1359.9085, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8034, scimark_benchmark: 2088.7312, usercpu_time_millis: 6049.037, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 6045.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.75, kappa: 0.4958, kb_relative_information_score: 1299.802, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826, scimark_benchmark: 2107.8588, usercpu_time_millis: 7052.639, usercpu_time_millis_testing: 2.368, usercpu_time_millis_training: 7050.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1669.3063, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7505, scimark_benchmark: 2010.4377, usercpu_time_millis: 8690.719, usercpu_time_millis_testing: 5.405, usercpu_time_millis_training: 8685.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7942, kappa: 0.5849, kb_relative_information_score: 1506.6717, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 2019.5053, usercpu_time_millis: 11417.844, usercpu_time_millis_testing: 3.946, usercpu_time_millis_training: 11413.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1612.8395, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7588, scimark_benchmark: 1980.5779, usercpu_time_millis: 12920.528, usercpu_time_millis_testing: 4.107, usercpu_time_millis_training: 12916.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.649, kappa: 0.3045, kb_relative_information_score: 256.8625, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.677, predictive_accuracy: 0.6649, prior_entropy: 0.9948, recall: 0.6649, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9541, scimark_benchmark: 1849.7595, usercpu_time_millis: 6.36, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 5.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.6831, kappa: 0.3629, kb_relative_information_score: 439.8509, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6918, predictive_accuracy: 0.6892, prior_entropy: 0.9948, recall: 0.6892, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9227, scimark_benchmark: 1852.355, usercpu_time_millis: 11.232, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 10.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7099, kappa: 0.4147, kb_relative_information_score: 580.4184, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7124, predictive_accuracy: 0.7123, prior_entropy: 0.9948, recall: 0.7123, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8997, scimark_benchmark: 1853.0716, usercpu_time_millis: 7.05, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 6.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.746, kappa: 0.4875, kb_relative_information_score: 745.8175, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8693, scimark_benchmark: 1853.5818, usercpu_time_millis: 16.662, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 15.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7334, kappa: 0.462, kb_relative_information_score: 760.2477, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.734, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8694, scimark_benchmark: 1846.1643, usercpu_time_millis: 20.23, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 18.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7169, kappa: 0.4286, kb_relative_information_score: 605.7948, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7185, predictive_accuracy: 0.7187, prior_entropy: 0.9948, recall: 0.7187, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8946, scimark_benchmark: 1776.0956, usercpu_time_millis: 23.915, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 22.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.764, kappa: 0.5241, kb_relative_information_score: 921.0495, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8405, scimark_benchmark: 1853.9121, usercpu_time_millis: 28.073, usercpu_time_millis_testing: 2.114, usercpu_time_millis_training: 25.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7155, kappa: 0.4262, kb_relative_information_score: 558.9036, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7182, prior_entropy: 0.9948, recall: 0.7182, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9004, scimark_benchmark: 1853.9121, usercpu_time_millis: 34.95, usercpu_time_millis_testing: 3.322, usercpu_time_millis_training: 31.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7905, kappa: 0.5775, kb_relative_information_score: 1141.6834, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1852.5406, usercpu_time_millis: 36.481, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 33.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.773, kappa: 0.5421, kb_relative_information_score: 959.5471, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8351, scimark_benchmark: 1786.2746, usercpu_time_millis: 65.677, usercpu_time_millis_testing: 3.706, usercpu_time_millis_training: 61.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7803, kappa: 0.5571, kb_relative_information_score: 1074.753, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1753.0193, usercpu_time_millis: 22.373, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 20.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7747, kappa: 0.5454, kb_relative_information_score: 1008.7271, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.775, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8283, scimark_benchmark: 1858.1494, usercpu_time_millis: 31.611, usercpu_time_millis_testing: 2.108, usercpu_time_millis_training: 29.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7816, kappa: 0.5595, kb_relative_information_score: 1049.606, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1848.2024, usercpu_time_millis: 30.236, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 28.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7563, kappa: 0.5084, kb_relative_information_score: 865.4588, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8506, scimark_benchmark: 1846.8309, usercpu_time_millis: 37.269, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 33.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7478, kappa: 0.4911, kb_relative_information_score: 787.0074, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7486, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8626, scimark_benchmark: 2142.1815, usercpu_time_millis: 49.108, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 46.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7672, kappa: 0.5303, kb_relative_information_score: 956.1783, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7679, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8372, scimark_benchmark: 1848.8462, usercpu_time_millis: 52.963, usercpu_time_millis_testing: 3.912, usercpu_time_millis_training: 49.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7337, kappa: 0.4627, kb_relative_information_score: 603.6801, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8925, scimark_benchmark: 1850.2875, usercpu_time_millis: 61.575, usercpu_time_millis_testing: 4.585, usercpu_time_millis_training: 56.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.6953, kappa: 0.3858, kb_relative_information_score: 480.3089, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6997, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9161, scimark_benchmark: 1853.454, usercpu_time_millis: 15.861, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 14.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.643, kappa: 0.2957, kb_relative_information_score: 241.3556, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6762, predictive_accuracy: 0.6614, prior_entropy: 0.9948, recall: 0.6614, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9567, scimark_benchmark: 1849.8294, usercpu_time_millis: 13.83, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 12.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.6699, kappa: 0.3379, kb_relative_information_score: 363.2537, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6819, predictive_accuracy: 0.678, prior_entropy: 0.9948, recall: 0.678, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9358, scimark_benchmark: 1854.9533, usercpu_time_millis: 14.93, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 13.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.6238, kappa: 0.2753, kb_relative_information_score: 222.0138, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6902, predictive_accuracy: 0.6553, prior_entropy: 0.9948, recall: 0.6553, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9596, scimark_benchmark: 1855.4813, usercpu_time_millis: 22.588, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 20.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7073, kappa: 0.4096, kb_relative_information_score: 546.4986, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7101, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9048, scimark_benchmark: 1851.8968, usercpu_time_millis: 27.888, usercpu_time_millis_testing: 1.962, usercpu_time_millis_training: 25.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7237, kappa: 0.4424, kb_relative_information_score: 638.9348, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7252, predictive_accuracy: 0.7254, prior_entropy: 0.9948, recall: 0.7254, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8878, scimark_benchmark: 1852.9259, usercpu_time_millis: 36.585, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 33.254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1480.162, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1180.0441, usercpu_time_millis: 444.226, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 442.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7955, kappa: 0.5875, kb_relative_information_score: 1571.7008, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7959, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7681, scimark_benchmark: 1181.7821, usercpu_time_millis: 419.296, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 418.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8043, kappa: 0.6053, kb_relative_information_score: 1395.765, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7722, scimark_benchmark: 1180.68, usercpu_time_millis: 532.146, usercpu_time_millis_testing: 7.133, usercpu_time_millis_training: 525.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1505.9867, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7847, scimark_benchmark: 1184.2559, usercpu_time_millis: 1369.587, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 1368.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7904, kappa: 0.5772, kb_relative_information_score: 1371.9418, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894, scimark_benchmark: 1176.3284, usercpu_time_millis: 1681.044, usercpu_time_millis_testing: 4.068, usercpu_time_millis_training: 1676.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7576, kappa: 0.511, kb_relative_information_score: 1169.1636, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8318, scimark_benchmark: 1179.8759, usercpu_time_millis: 1152.257, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 1150.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1403.8802, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709, scimark_benchmark: 1181.5584, usercpu_time_millis: 426.841, usercpu_time_millis_testing: 4.297, usercpu_time_millis_training: 422.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7616, kappa: 0.5189, kb_relative_information_score: 1300.324, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1198.8749, usercpu_time_millis: 2328.217, usercpu_time_millis_testing: 1.805, usercpu_time_millis_training: 2326.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7877, kappa: 0.5718, kb_relative_information_score: 1432.2139, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1181.0678, usercpu_time_millis: 2707.917, usercpu_time_millis_testing: 4.091, usercpu_time_millis_training: 2703.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1550.126, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7542, scimark_benchmark: 1182.3907, usercpu_time_millis: 923.814, usercpu_time_millis_testing: 6.259, usercpu_time_millis_training: 917.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.7963, kappa: 0.5893, kb_relative_information_score: 1784.6493, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7593, scimark_benchmark: 1179.2276, usercpu_time_millis: 4847.388, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 4845.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7891, kappa: 0.5745, kb_relative_information_score: 1446.1229, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7843, scimark_benchmark: 1700.8809, usercpu_time_millis: 1879.766, usercpu_time_millis_testing: 3.037, usercpu_time_millis_training: 1876.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.738, kappa: 0.4731, kb_relative_information_score: 871.6778, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8707, scimark_benchmark: 1805.8812, usercpu_time_millis: 28.641, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 27.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7761, kappa: 0.5485, kb_relative_information_score: 1126.477, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.818, scimark_benchmark: 1842.6679, usercpu_time_millis: 106.864, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 104.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 972.7214, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8788, scimark_benchmark: 1846.2342, usercpu_time_millis: 131.717, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 130.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7582, kappa: 0.5121, kb_relative_information_score: 1115.7639, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8303, scimark_benchmark: 1846.6923, usercpu_time_millis: 153.062, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 151.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1627.2041, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7536, scimark_benchmark: 1952.3201, usercpu_time_millis: 195.737, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 194.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 863.2738, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1837.5732, usercpu_time_millis: 236.37, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 235.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7668, kappa: 0.5294, kb_relative_information_score: 1391.7716, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8055, scimark_benchmark: 1746.4726, usercpu_time_millis: 5166.644, usercpu_time_millis_testing: 2.355, usercpu_time_millis_training: 5164.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8036, kappa: 0.6038, kb_relative_information_score: 1619.8235, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1744.2151, usercpu_time_millis: 5104.936, usercpu_time_millis_testing: 4.437, usercpu_time_millis_training: 5100.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7736, kappa: 0.5431, kb_relative_information_score: 1372.3658, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1729.8046, usercpu_time_millis: 5704.747, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 5701.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8051, kappa: 0.607, kb_relative_information_score: 1738.6378, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.752, scimark_benchmark: 1853.9121, usercpu_time_millis: 5842.056, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 5838.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7966, kappa: 0.5897, kb_relative_information_score: 1494.2213, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7748, scimark_benchmark: 1728.2361, usercpu_time_millis: 3670.589, usercpu_time_millis_testing: 4.297, usercpu_time_millis_training: 3666.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.1203, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.8309, usercpu_time_millis: 8.749, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 7.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7474, kappa: 0.4903, kb_relative_information_score: 830.7496, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7495, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8643, scimark_benchmark: 1707.3425, usercpu_time_millis: 140.207, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 138.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7288, kappa: 0.4538, kb_relative_information_score: 388.5017, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9312, scimark_benchmark: 1818.4874, usercpu_time_millis: 41.374, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 39.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8063, kappa: 0.6094, kb_relative_information_score: 1488.4481, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7655, scimark_benchmark: 1851.497, usercpu_time_millis: 63.02, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 61.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.2018, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8718, scimark_benchmark: 1824.6916, usercpu_time_millis: 262.809, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 261.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1365.9416, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7786, scimark_benchmark: 1832.6873, usercpu_time_millis: 509.434, usercpu_time_millis_testing: 4.688, usercpu_time_millis_training: 504.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1485.8664, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1833.1288, usercpu_time_millis: 661.481, usercpu_time_millis_testing: 3.136, usercpu_time_millis_training: 658.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.764, kappa: 0.5238, kb_relative_information_score: 1267.8656, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7651, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 1823.4294, usercpu_time_millis: 1065.975, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 1064.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7935, kappa: 0.5834, kb_relative_information_score: 1431.9491, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1838.236, usercpu_time_millis: 1101.916, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 1098.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.754, kappa: 0.5037, kb_relative_information_score: 1219.6108, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.832, scimark_benchmark: 1837.586, usercpu_time_millis: 1340.468, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 1338.491,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

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